def test_simprocess():
argnames = ["process", "input", "output", "t"]
non_signals = ["process"]
_, sim = _test_operator_arg_attributes(SimProcess,
argnames,
non_signals=non_signals)
assert str(sim) == "SimProcess{process, input -> output}"
with pytest.raises(ValueError, match="Unrecognized mode"):
_test_operator_arg_attributes(SimProcess,
argnames,
args={"mode": "badval"})
def test_simpes():
argnames = ["pre_filtered", "error", "delta", "learning_rate", "encoders"]
non_signals = ["learning_rate"]
_, sim = _test_operator_arg_attributes(SimPES,
argnames,
non_signals=non_signals)
assert str(sim) == "SimPES{pre=pre_filtered, error=error -> delta}"
def test_simneurons():
argnames = ["neurons", "J", "output"]
non_signals = ["neurons"]
_, sim = _test_operator_arg_attributes(SimNeurons,
argnames,
non_signals=non_signals)
assert str(sim) == "SimNeurons{neurons, J, output}"
def test_simbcm():
argnames = [
"pre_filtered", "post_filtered", "theta", "delta", "learning_rate"
]
non_signals = ["learning_rate"]
_, sim = _test_operator_arg_attributes(SimBCM,
argnames,
non_signals=non_signals)
assert str(sim) == "SimBCM{pre=pre_filtered, post=post_filtered -> delta}"
def test_convinc_attrs_decstr():
argnames = ["W", "X", "Y", "conv"]
non_signals = ["conv"]
conv = Convolution(4, (3, 5, 2))
_, sim = _test_operator_arg_attributes(ConvInc,
argnames,
non_signals=non_signals,
args={"conv": conv})
assert str(sim) == "ConvInc{conv2d(W, X) -> Y}"
conv_transpose = ConvolutionTranspose(4, (3, 5, 2))
_, sim = _test_operator_arg_attributes(
ConvTransposeInc,
argnames,
non_signals=non_signals,
args={"conv": conv_transpose},
)
assert str(sim) == "ConvTransposeInc{convtranspose2d(W, X) -> Y}"
def test_simoja():
argnames = [
"pre_filtered",
"post_filtered",
"weights",
"delta",
"learning_rate",
"beta",
]
non_signals = ["learning_rate", "beta"]
_, sim = _test_operator_arg_attributes(SimOja,
argnames,
non_signals=non_signals)
assert str(sim) == "SimOja{pre=pre_filtered, post=post_filtered -> delta}"
def test_simvoja():
argnames = [
"pre_decoded",
"post_filtered",
"scaled_encoders",
"delta",
"scale",
"learning_signal",
"learning_rate",
]
non_signals = ["learning_rate", "scale"]
args, sim = _test_operator_arg_attributes(SimVoja,
argnames,
non_signals=non_signals)
assert sim.weights is args["scaled_encoders"]
assert str(sim) == "SimVoja{pre=pre_decoded, post=post_filtered -> delta}"
def test_convinc_attrs_decstr():
argnames = ["W", "X", "Y", "conv"]
non_signals = ["conv"]
_, sim = _test_operator_arg_attributes(ConvInc, argnames, non_signals=non_signals)
assert str(sim) == "ConvInc{conv2d(W, X) -> Y}"
